Penglin Dai

Penglin Dai

Associate Professor @SWJTU

Penglin Dai (Chinese character 戴朋林) received his Ph.D. degree in Computer Science from the College of Computer Science at Chongqing University (CQU), Chongqing, China, in 2017. He previously earned his B.S. degree in Mathematics and Applied Mathematics Chongqing University (CQU), Chongqing, China, in 2012. Dr. Dai is currently an Associate Professor at the School of Computing and Artificial Intelligence, Southwest Jiaotong University (SWJTU), in Chengdu. He has authored and co-authored more than 70 papers with total google scholar at the top international conferences and journals such as AAAI, INFOCOM, TMC, TSC, TITS, TSMC.

His research interests are primarily focused on several cutting-edge areas, including:

  • Edge Artificial Intelligence (Edge AI), emphasizing AI Model Optimization for Edge Devices, Collaborative AI in Edge Networks, etc.
  • Autonomous Driving, covering topics like V2X-based Cooperative Perception, Multi-Sensor Fusion for Autonomous Vehicles, and Simulation and Testing of Autonomous Vehicles.
  • Internet of Vehicles (IoVs), with a focus on Vehicular Communication Networks, Video Streaming in IoVs, Edge Computing for V2X Networks, Vehicular Crowdsensing, etc.
Contact Information:
Office Address:
Room 9439, Building 9, XiPu Campus,
Xi'an Road No.999, Pidu District,
Chengdu 611756, China
E-mail: penglindai@swjtu.edu.cn

🔥 News

June 2025

  • One of our papers has been accepted to IEEE Transactions on Services computing. Congratulations to Xin Wang and Yue Xiang!

    April 2025

  • One of our papers has been accepted to IEEE Transactions on Network Science and Engineering.

    March 2025

  • One of our papers has been accepted to IEEE Transactions on Consumer Electronics. Congratulations to Junfei Zhou and Jialong Ma!

    December 2024

  • Great news! I have been included in the 2024 Top 2% Scientists list published by Stanford University and Elsevier!
  • One of our papers has been accepted to AAAI 2025. Congratulations to Quanmin Wei!

🔬 Research

To be updated

📖 Publication

JCR: Journal Citation Reports by Clarivate Com.
SCI: Journal Partition List by National Science Library, Chinese Academy of Sciences
CCF: Recommended Publications by China Computer Federation
*: Corresponding Author

Selected Publications (* Corresponding Author)

Journal

  1. Penglin Dai, Xin Wang, Yue Xiang, Xiao Wu*, Junhua Wang, Kai Liu, Multi-Agent Reinforcement Learning for Freshness-Aware Data Sensing Model in Vehicular Crowdsensing Systems, IEEE Transactions on Services Computing (TSC), 2025, early access. [JCR Q1|SCI Q2|CCF A]
  2. Kangli Zhao, Penglin Dai*, Huanlai Xing, Xiao Wu*, A Cooperative Kernel-Based Method for Task Offloading in Vehicular Edge Computing, IEEE Transactions on Network Science and Engineering (TNSE), 2025, early access. [JCR Q1|SCI Q2]
  3. Penglin Dai, Junfei Zhou, Jialong Ma, Hao Zhang*, Xiao Wu, Meta-Transfer Learning Based Cross-Domain Gesture Recognition Using WiFi Channel State Information, IEEE Transactions on Consumer Electronics (TCE), 2025, early access. [JCR Q1|SCI Q2]
  4. Penglin Dai*, Biao Han, Ke Li, Xincao Xu, Huanlai Xing, and Kai Liu, Joint Optimization of Device Placement and Model Partitioning for Cooperative DNN Inference in Heterogeneous Edge Computing, IEEE Transactions on Mobile Computing (TMC), 2025, 24(1): 210-226. [JCR Q1|SCI Q2|CCF A]
  5. Penglin Dai*, Yangyang Chao, Xiao Wu, Kai Liu, Songtao Guo, Context-aware Offloading for Edge-assisted On-device Video Analytics Through Online Learning Approach, in IEEE Transactions on Mobile Computing (TMC), 2024, 23(2): 12761-12777. [JCR Q1|SCI Q2|CCF A]
  6. Penglin Dai*, Meiting Wu, Ke Li, Xiao Wu and Yan Ding, Joint Optimization for Quality Selection and Resource Allocation of Live Video Streaming in Internet of Vehicles, in IEEE Transactions on Services Computing (TSC), 2024, 17(4): 1607-1621. [JCR Q1|SCI Q2|CCF A]
  7. Penglin Dai, Yaorong Huang, Xiao Wu*, Ke Li, Huanlai Xing and Kai Liu, Freshness and Security-Aware Cache Update in Blockchain-Based Vehicular Edge Networks, in IEEE Transactions on Consumer Electronics (TCE), 2024, 70(1): 108-121. [JCR Q1|SCI Q2]
  8. Penglin Dai*, Yaorong Huang, Kaiwen Hu, Xiao Wu, Huanlai Xing, Zhaofei Yu, Meta Reinforcement Learning for Multi-task Offloading in Vehicular Edge Computing, IEEE Transactions on Mobile Computing (TMC), 2024, 23(3): 2123-2138. [JCR Q1|SCI Q2|CCF A]
  9. Penglin Dai*, Biao Han, Xiao Wu, Huanlai Xing, Bingyi Liu and Kai Liu, Distributed Convex Relaxation for Heterogeneous Task Replication in Mobile Edge Computing, IEEE Transactions on Mobile Computing (TMC), 2024, 23(2): 1230-1245. [JCR Q1|SCI Q2|CCF A]
  10. Penglin Dai, Feng Song, Kai Liu, Yueyue Dai, Pan Zhou and Songtao Guo, Edge Intelligence for Adaptive Multimedia Streaming in Heterogeneous Internet of Vehicles, in IEEE Transactions on Mobile Computing (TMC), 2023, 22(3):1464-1478.[JCR Q1|SCI Q2|CCF A]
  11. Zongkai Liu, Penglin Dai*, Huanlai Xing, Zhaofei Yu, Wei Zhang, A Distributed Algorithm for Task Offloading in Vehicular Networks with Hybrid Fog/Cloud Computing, IEEE Transactions on Systems, Man and Cybernetics: Systems (TSMCS), 2022, 52(7): 4388-4401. [JCR Q1|SCI Q1]
  12. Penglin Dai*, Kaiwen Hu, Xiao Wu, Huanglai Xing, Fei Teng and Zhaofei Yu, A Probabilistic Approach for Cooperative Computation Offloading in MEC-Assisted Vehicular Networks, IEEE Transactions on Intelligent Transportation Systems (TITS), 2022, 23(2): 899-911. [JCR Q1|SCI Q1|CCF B]
  13. Kai Liu*, Ke Xiao, Penglin Dai*, Victor C.S. Lee, Songtao Guo and Jiannong Cao, Fog Computing Empowered Data Dissemination in Software Defined Heterogeneous VANETs, IEEE Transactions on Mobile Computing (TMC), 2021, 20(11): 3181-3193. [JCR Q1|SCI Q2|CCF A]
  14. Penglin Dai, Zihua Hang, Kai Liu*, Xiao Wu, Huanlai Xing, Zhaofei Yu, Victor Chung Sing Lee, Multi-Armed Bandit Learning for Computation-Intensive Services in MEC-Empowered Vehicular Networks, IEEE Transactions on Vehicular Technology (TVT), 2020, 69(7): 7821~7834. [JCR Q1|SCI Q2]
  15. Zihua Hang, Penglin Dai*, Shanshan Jia*, and Zhaofei Yu, Network structure reconstruction with symmetry constraint, Chaos, Solitons & Fractals, 2020, 139: 1-9. [JCR Q1|SCI Q1]
  16. Penglin Dai, Kai Liu*, Liang Feng, Haijun Zhang, Victor C. S. Lee, Sang H. Son, Xiao Wu, Temporal Information Services in Large-Scale Vehicular Networks through Evolutionary Multi-objective Optimization, IEEE Transactions on Intelligent Transportation Systems (TITS), 2019, 20(1): 218~231. [JCR Q1|SCI Q1|CCF B]
  17. Penglin Dai, Kai Liu*, Xiao Wu, Zhaofei Yu*, Huanglai Xing and Victor C. S. Lee, Cooperative Temporal Data Dissemination in SDN-Based Heterogeneous Vehicular Networks, IEEE Internet of Things Journal (IOTJ), 2019, 6(1): 72-83. [JCR Q1|SCI Q1]
  18. Penglin Dai, Kai Liu*, Xiao Wu, Yong Liao, Victor Chung Sing Lee, Sang Hyuk Son, Bandwidth Efficiency and Service Adaptiveness Oriented Data Dissemination in Heterogeneous Vehicular Networks, IEEE Transactions on Vehicular Technology (TVT), 2018, 67(7): 6585~6598. [JCR Q1|SCI Q2]
  19. Penglin Dai, Kai Liu*, Qingfeng Zhuge, Edwin H.-M. Sha, Victor Chung Sing Lee, Sang Hyuk Son, Quality-of-Experience-Oriented Autonomous Intersection Control in Vehicular Networks, IEEE Transactions on Intelligent Transportation Systems (TITS), 2016,17(7): 1956~1967. [JCR Q1|SCI Q1|CCF B]
  20. Penglin Dai, Kai Liu*, Liang Feng, Qingfeng Zhuge, Victor Chung Sing Lee, Sang Hyuk Son, Adaptive Scheduling for Real-time and Temporal Information Services in Vehicular Networks, Transportation Research Part C: Emerging Technologies, 2016 (TRC), 71: 313~332. [JCR Q1|SCI Q1]

Conference

  1. Quanmin Wei, Penglin Dai*, Wei Li, Bingyi Liu, Xiao Wu, CoPEFT: Fast Adaptation Framework for Multi-Agent Collaborative Perception with Parameter-Efficient Fine-Tuning, The 39th Annual AAAI Conference on Artificial Intelligence (AAAI 2025), Philadelphia, PA, USA, Feb 25 - Mar 4, 2025. (oral presentation) [CCF A][Code]
  2. Hao Jiang, Penglin Dai*, Kai Liu, Feiyu Jin, Hualin Ren and Songtao Guo, Traffic Event Augmentation via Vehicular Edge Computing: A Vehicle ReID based Solution, 2022 18th International Conference on Mobility, Sensing and Networking (IEEE MSN 2022), Guangzhou, China, 14-16 December 2022. [CCF-C]
  3. Yaorong Huang, Penglin Dai*, Kangli Zhao and Huanlai Xing, Contextual Multi-Armed Bandit Learning for Freshness-aware Cache Update in Vehicular Edge Networks, 2022 IEEE International Symposium on Product Compliance Engineering - Asia (IEEE ISPCE-ASIA2022), Guangzhou, China, November, 4-6, 2022. [Best Paper Candidate]
  4. Penglin Dai*, Kaiwen Hu, Xiao Wu, Huanglai Xing and Zhaofei Yu, Asynchronous Deep Reinforcement Learning for Data-Driven Task Offloading in MEC-Empowered Vehicular Networks, 2021 IEEE 40th International Conference on Computer Communications (IEEE INFOCOM 2021), Vancouver, BC, Canada, 2021. [CCF A]
  5. Penglin Dai*, Kaiwen Hu, Huanlai Xing and Kangli Zhao, “A Convex-based Computation Offloading Mechanism in Vehicular Edge Computing,” 2020 IEEE International Symposium on Product Compliance Engineering-Asia (ISPCE-CN), Chongqing, China, 2020. [Best Paper Award]
  6. Penglin Dai*, Kai Liu, Xiao Wu, Huailai Xing, Jing Xu and Victor Lee. Joint Resource Optimization for Adaptive Multimedia Services in MEC-based Vehicular Networks, IEEE Global Communications Conference: Mobile and Wireless Networks (IEEE GLOBECOM 2019), Waikoloa, HI, USA, December, 9-13, 2019. [CCF-C]
  7. Penglin Dai*, Kai Liu, Xiao Wu, Huailai Xing, Zhaofei Yu and Victor Lee. A Learning Algorithm for Real-time Service in Vehicular Networks with Mobile-Edge Computing. IEEE International Conference on Communications (IEEE ICC 2019), Shanghai, China, May 20-24, 2019. [CCF-C]
  8. Penglin Dai*, Kai Liu, Xiao Wu, Huailai Xing and Victor Lee. Multi-objective Optimization for Network Resource Management in Heterogeneous Vehicular Networks. IEEE Wireless Communications and Networking Conference (IEEE WCNC’19), Marrakech, Morocco, April 15-18, 2019. [CCF-C]
  9. Penglin Dai, Kai Liu*, Liang Feng, Qingfeng Zhuge, Victor Lee and Sang Son. Towards Real-Time and Temporal Information Services in Vehicular Networks via Multi-Objective Optimization. Proc. of the 41st IEEE Conference on Local Computer Networks (IEEE LCN 2016), Dubai, UAE, November 7-10, 2016. [CCF-C]
  10. Penglin Dai, Kai Liu, Qingfeng Zhuge, Edwin Sha, Victor Lee and Sang Son. A Convex Optimization Based Autonomous Intersection Control Strategy in Vehicular Cyber-Physical System. Proc. of the 13th IEEE International Conference on Ubiquitous Intelligence and Computing (IEEE UIC 2016*), Toulouse, France, July 18-21, 2016. [CCF-C]
  11. Penglin Dai, Kai Liu*, Qingfeng Zhuge, Edwin Sha, Victor Lee and Sang H. Son. Vehicle Assisted Data Update for Temporal Information Service in Vehicular Networks. Proc. of the 18th IEEE International Conference on Intelligent Transportation Systems (IEEE ITSC 2015), Canary Islands, Spain, September 15-18,2015.

Dissertation

  • Penglin Dai, Research on Key Techniques for Information Service Strategy and Network Resource Optimization in Large-scale Heterogeneous Vehicular Networks, Chongqing University, Doctoral Dissertation, June 2023.

🏆 Grants

NSFC NSFC: National Natural Science Foundation of China

CSPF CPSF: China Postdoctoral Science Foundation

Principal Investigator

  1. NSFC NSFC, General Project, “Research on distributed task processing mechanism in end-edge-cloud orchestrated Internet of Vehicles based on deep reinforcement learning”, 62172342, 590,000 CNY, Jan 2022 - Dec 2025.
  2. NSFC NSFC, General Project, “Research on Key Techniques for Real-time Data Scheduling and Dynamic Resource Optimization in Vehicle Networks”, 61802319, 260,000 CNY, Jan 2019 - Dec 2021.
  3. Natural Science Foundation of Hebei Province, F2022105003, Research on Key Techniques for Self-Adaptation of Edge Caching and Computation Model in Vehicular Networks, 200,000 CNY, Jan 2022 - Dec 2024.
  4. Sichuan Science and Technology Program, 2020YJ0272, Research on Key Technologies for data dissemination in mobile computing based on heterogeneous network integration, 100,000 CNY, Jan 2020 - Dec 2022.
  5. CSPF CSPF, Special Funding, “Research on real-time data transmission and processing mechanism of Internet of vehicles based on edge intelligence”, 2020T130547, 180,000 CNY, Jul 2020 - Jul 2022.
  6. CSPF CSPF, General Fund, “Research on efficient data service strategy of Internet of vehicles based on edge computing architecture”, 2019M660245, 120,000 CNY, Jan 2020 - May 2022.

👨🏻‍💻 Experience

💼 Work

  • Jan 2022 - now: Associate Professor/PhD Supervisor, School of Computing and Artificial Intelligence, Southwest Jiaotong University.
  • July 2024 - Aug 2024: Research Associate, Department of Computer Science, City University of HongKong. In collaboration with Prof. Jianping Wang.
  • July 2021 - Aug 2021: Research Fellow, Department of Computer Science, City University of HongKong. In collaboration with Prof. Victor C.S. Lee.
  • Jul 2017 - Dec 2021: Lecturer/Master’s Supervisor, School of Information Science and Technology, Southwest Jiaotong University.

🎓 Education

  • Sep 2012 - Jun 2017: Ph.D. in Computer Science, College of Computer Science, Chongqing University, Chongqing, China. Supervised by Prof. Kai Liu.
  • Sep 2008 - Jun 2012: Bachelor in Mathematics and Applied Mathematics, Hong Shen Honors School, College of Mathematics and Statistics, Chongqing University, Chongqing, China.